Classification of power system transients using wavelet transforms and probabilistic neural networks

Application of Wavelet Transform and Artificial Neural Network to Extract Power Quality Information from Voltage Oscillographic Signals in Electric Power Systems

“…Studies such those presented in (Lee et al, 1997;Chan et al, 2000;Santoso et al, 2000c;Ramaswamy et al, 2003;Zwe-Lee et al, 2003;Zwe-Lee, 2004& Machado et al, 2009), use characteristic vectors based on the multiresolution analysis decomposition levels coefficients as input to computational intelligence-based systems to classify different power quality events. The characteristic vectors magnitudes depend on the number of decomposition levels used for the analysis, or the number of coefficients of a given decomposition level.…”

Detection of small current grounding fault line based on wavelet transform and neural networks

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